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Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: Population Density from U.S. Block-Level Population Density Rasters for 2010
This tabular data set represents population density, persons per square kilometer from 2010 Census block level data, processed by James Falcone (USGS, 2016), compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for population density was produced by the U.S. Geological Survey (Falcone, 2016). Units are persons per square kilometer. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).
Author(s) |
Gregory E Schwarz |
Publication Date | 2023-08-02 |
Beginning Date of Data | 2010 |
Ending Date of Data | 2010 |
Data Contact | |
DOI | https://doi.org/10.5066/F7765D7V |
Citation | Schwarz, G.E., Jackson, S.E., and Wieczorek, M.E., 2023, Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: Population Density from U.S. Block-Level Population Density Rasters for 2010: U.S. Geological Survey data release, https://doi.org/10.5066/F7765D7V. |
Metadata Contact | |
Metadata Date | 2023-08-02 |
Related Publication | There was no related primary publication associated with this data release. |
Citations of these data | Loading https://doi.org/10.1016/J.WATRES.2022.118443 Loading https://doi.org/10.1029/2018WR024463 Loading https://doi.org/10.1029/2020GL091777 Loading https://doi.org/10.1029/2020WR027949 Loading https://doi.org/10.1080/1747423X.2019.1590473 Loading https://doi.org/10.1080/20442041.2019.1700749 Loading https://doi.org/10.1111/1752-1688.12905 Loading https://doi.org/10.3133/sir20185145 Loading https://doi.org/10.3133/sir20195106 Loading https://doi.org/10.3133/sir20195112 Loading https://doi.org/10.3133/sir20195114 Loading https://doi.org/10.3133/sir20195118 Loading https://doi.org/10.3133/sir20195127 Loading https://doi.org/10.3133/sir20195135 Loading https://doi.org/10.3133/SIR20215070 Loading https://doi.org/10.3133/SIR20215087 Loading https://doi.org/10.3133/SIR20215121 Loading https://doi.org/10.3133/SIR20225051 Loading https://doi.org/10.3133/SIR20225114 |
Access | public |
License | http://www.usa.gov/publicdomain/label/1.0/ |
Harvest Date: 2025-01-23T14:13:21.299Z